Fuzzy multi-objective optimization case study based on an anaerobic co-digestion process of food waste leachate and piggery wastewater.

This paper presents the development and evaluation of fuzzy multi-objective optimization for decision-making that includes the process optimization of anaerobic digestion (AD) process. The operating cost criteria which is a fundamental research gap in previous AD analysis was integrated for the case...

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Publicado en:Journal of Environmental Management Vol. 223; pp. 314 - 324
Autores principales: Choi, Angelo Earvin Sy, Park, Hung Suck
Formato: Artículo
Publicado: Academic Press Inc. Oct2018
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        03014797
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      dt: Oct2018
      vid: 223
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      pub: Academic Press Inc.
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        131070829
        10.1016/j.jenvman.2018.06.009
      ppf: 314
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        atl: Fuzzy multi-objective optimization case study based on an anaerobic co-digestion process of food waste leachate and piggery wastewater.
      aug:
        au:
          Choi, Angelo Earvin Sy
          Park, Hung Suck
        affil:
          Chemical Engineering Department, De La Salle University, 2401 Taft Ave, Manila, 0922 Philippines
          Department of Civil and Environmental Engineering, University of Ulsan, 93 Daehakro, Ulsan, 680-749 Republic of Korea
      su:
        Wastewater treatment
        Anaerobic digestion
        Calcium carbonate
        Leachate
        Response surfaces (Statistics)
      sug:
        subj:
          Sewage Treatment Facilities
          Wastewater treatment
          Anaerobic digestion
          Calcium carbonate
          Leachate
          Response surfaces (Statistics)
      keyword:
        Food waste leachate
        Fuzzy optimization
        Methane yield
        Piggery wastewater
        Food waste leachate
        Fuzzy optimization
        Methane yield
        Piggery wastewater
      ab: This paper presents the development and evaluation of fuzzy multi-objective optimization for decision-making that includes the process optimization of anaerobic digestion (AD) process. The operating cost criteria which is a fundamental research gap in previous AD analysis was integrated for the case study in this research. In this study, the mixing ratio of food waste leachate (FWL) and piggery wastewater (PWW), calcium carbonate (CaCO 3 ) and sodium chloride (NaCl) concentrations were optimized to enhance methane production while minimizing operating cost. The results indicated a maximum of 63.3% satisfaction for both methane production and operating cost under the following optimal conditions: mixing ratio (FWL: PWW) – 1.4, CaCO 3 – 2970.5 mg/L and NaCl – 2.7 g/L. In multi-objective optimization, the specific methane yield (SMY) was 239.0 mL CH 4 /g VS added , while 41.2% volatile solids reduction (VSR) was obtained at an operating cost of 56.9 US$/ton. In comparison with the previous optimization study that utilized the response surface methodology, the SMY, VSR and operating cost of the AD process were 310 mL/g, 54% and 83.2 US$/ton, respectively. The results from multi-objective fuzzy optimization proves to show the potential application of this technique for practical decision-making in the process optimization of AD process.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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